HP Victus by HP Gaming Laptop 15-fb3xxx
Geekbench AI Score
1793
Single Precision Score
949
Half Precision Score
3963
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 26 2025 03:37 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 8645HS w/ Radeon 760M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP Victus by HP Gaming Laptop 15-fb3xxx |
| Motherboard | HP 8DD0 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8645HS w/ Radeon 760M Graphics |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1420
264.1 IPS |
|
|
Image Classification (HP)
|
100% |
395
73.5 IPS |
|
|
Image Classification (Q)
|
99% |
4423
825.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
700
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
495
8.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
2202
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3119
3.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
2819
3.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
13353
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1395
110.6 IPS |
|
|
Object Detection (HP)
|
100% |
426
33.8 IPS |
|
|
Object Detection (Q)
|
86% |
2532
203.5 IPS |
|
|
Face Detection (SP)
|
100% |
1943
23.1 IPS |
|
|
Face Detection (HP)
|
100% |
642
7.63 IPS |
|
|
Face Detection (Q)
|
97% |
3959
47.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2350
18.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1419
10.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
6938
55.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7222
9.28 IPS |
|
|
Style Transfer (HP)
|
100% |
7019
9.02 IPS |
|
|
Style Transfer (Q)
|
98% |
14313
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1310
48.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1173
43.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2444
90.5 IPS |
|
|
Text Classification (SP)
|
100% |
1202
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
590
787.6 IPS |
|
|
Text Classification (Q)
|
97% |
1414
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1534
26.4 IPS |
|
|
Machine Translation (HP)
|
100% |
573
9.88 IPS |
|
|
Machine Translation (Q)
|
65% |
2136
42.9 IPS |
